Data Analytics detailed Syllabus for MBA (Finance), R19 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.
For all other MBA (Finance) 3rd Sem Syllabus for R19 Regulation JNTUH, do visit MBA (Finance) 3rd Sem Syllabus for R19 Regulation JNTUH Subjects. The detailed Syllabus for data analytics is as follows.
Course Objectives:
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Learning Outcome:
Students will be able to understand
- Importance of Analytics
- Understanding the analytical tools
- Application of Analytical tools to solve business problems.
Unit I
Introduction to Data Analytics: Introduction to Data- Importance of Analytics- Data for Business Analytics -Big Data – Business Analytics in Practice. Data Visualization – Data Visualization tools, Data queries, Statistical methods for Summarizing data, Exploring data using pivot tables.
Unit II
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Unit III
Predictive Analytics: Karl Pearson Correlation Techniques – Multiple CorrelationSpearmans Rank correlation -Simple and Multiple regression -Regression by the method of least squares – Building good regression models – Regression with categorical independent variables – -Linear Discriminant Analysis – One way and Two-Way ANOVA
Unit IV
Data Mining: Scope of Data Mining, Data Exploration and Reduction, Unsupervised learning – cluster analysis, Association rules, Supervised learning- Partition Data, Classification Accuracy, prediction Accuracy, k-nearest neighbors, Classification and regression trees, Logistics Regression.
Unit V
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Suggested Readings:
- James Evans, Business Analytics, 2e, Pearson, 2017.
- Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, Williams Essential of Business Analytics, Cengage Learning.
- Thomas Eri, Wajid Khattackand Paul Buhler: Big Data Fundamentals, Concepts, drivers and Techniques by Prentice Hall of India, New Delhi, 2015
- Wilfgang Jank, Buisness Analytics for Managers, Springer, 1e, 2014.
- Akil Maheswari, Big Data, Upskill ahead by Tata McGraw Hill, New Delhi, 2016
- Foster Provost and Tom Fawcett, Data Science for Business, Shroff Publisher, 2018.
- Seema Acharya and Subhashini Chellappan: Big Data and Analytics, Wiley Publications, New Delhi, 2015.
For detail Syllabus of all other subjects of MBA Finance, R19 scheme do visit Finance 3rd Sem Syllabus for R19 scheme.
For all the MBA results, visit JNTUH MBA all semester results direct links.